朱泽轩 系主任 副所长 教授
人工智能系
智能技术与系统集成研究所
zhuzx@szu.edu.cn
计算机与软件学院1036

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个人简介
朱泽轩（博士，教授，博导）2003年获得复旦大学计算机科学与技术学士学位，2008年获得新加坡南洋理工大学计算机工程博士学位，2009-2010，在深圳大学计算机与软件学院但任讲师、2011年晋升副教授、2015年破格晋升教授，目前担任深圳大学计算机与软件学院人工智能系系主任、智能技术与系统集成研究所副所长。主要从事演化计算、机器学习、生物信息学等领域的研究工作。入选广东省首批特支计划创新青年拔尖人才，广东省首批高校优秀青年教师培养计划、深圳市首批“孔雀计划”海外高层次人才。担任中国数字音视频编解码技术标准工作组(AVS)基因压缩专题组组长，IEEE Computational Intelligence Society, Emergent Technologies Task Force on Memetic Computing主席，期刊IEEE Transactions on Evolutionary Computation和IEEE Transactions on Emerging Topics in Computational Intelligence副主编。已主持国家重点研发计划课题、国家自然科学基金项目4项、省部级以上项目5项；在IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics、IIEEE Transactions on Neural Networks and Learning Systems、Bioinformatics等期刊和国际会议发表论文140多篇，SCI他引1600多次。个人主页：http://csse.szu.edu.cn/staff/zhuzx
代表论文
X. Ma, J. Yin, A. Zhu, X. Li, Y. Yu, L. Wang, Y. Qi, and Z. Zhu*, Enhanced multifactorial evolutionary algorithm with meme helper-tasks, IEEE Transactions on Cybernetics, 2021. (accepted)
Z. Liang, K. Hu, X. Ma, and Z. Zhu*, A many-objective evolutionary algorithm based on a two-round selection strategy, IEEE Transactions on Cybernetics, vol. 51, no. 3, pp. 1417-1429, 2021
Z.-A. Huang, J. Zhang,Z. Zhu*, E. Q. Wu, and K. C. Tan*, Identi?cation of autistic risk candidate genes and toxic chemicals via multi-label learning,IEEE Transactions on Neural Networks and Learning Systems, 2020, (accepted)
Q. Lin, W. Lin, Z. Zhu*, M. Gong, J. Li, and C. A. Coello Coello, Multimodal multi-objective evolutionary optimization with dual clustering in decision and objective spaces, IEEE Transactions on Evolutionary Computation, 2020. (accepted)
Z.-A. Huang, Z. Zhu*, C. Yau, and K. C. Tan*, Identifying autism spectrum disorder from resting-state fMRI using deep belief network, IEEE Transactions on Neural Networks and Learning Systems, 2020, (accepted)
X. Ma, Y. Yu, X. Li, Y. Qi, and Z. Zhu*, A survey of weight vector adjustment methods for decomposition based multi-objective evolutionary algorithms, IEEE Transactions on Evolutionary Computation, 2020. (accepted)
Z. Liang, H. Dong, C. Liu, W. Liang, and Z. Zhu*, Evolutionary multi-tasking for multi-objective optimization with subspace alignment and adaptive differential evolution, IEEE Transactions on Cybernetics, 2020. (accepted)
Z. Liang, T. Wu, X. Ma, Z. Zhu*, and S. Yang, A dynamic multi-objective evolutionary algorithm based on decision variable classification, IEEE Transactions on Cybernetics, 2020. (accepted)
Z. Liang, T. Luo, K. Hu, X. Ma, andZ. Zhu*, An indicator-based many-objective evolutionary algorithm with boundary protection,IEEE Transactions on Cybernetics, 2019. (accepted)
X. Ma, X. Li, Q. Zhang, K. Tang, Z. Liang, W. Xie, andZ. Zhu*, A survey on cooperative co-evolutionary algorithms,IEEE Transactions on Evolutionary Computation, vol. 23, no. 3, pp. 421-441, 2019.
R. Guo, Y.-R. Li, S. He, L. Ou-Yang, Y. Sun*, andZ. Zhu*,RepLong - de novo repeat identification using long read sequencing data,Bioinformatics, vol. 34, no. 7, pp. 1099-1107, 2018.

X. Ma, Q. Zhang, G. Tian, J. Yang, andZ. Zhu*, On Tchebycheff decomposition approaches for multi-objective evolutionary optimization,IEEE Transactions on Evolutionary Computation, vol. 22, no. 2, pp. 226-244, 2018.
Z.-H, You, Z.-A. Huang,Z. Zhu*, G.-Y. Yan, Z.-W. Li, Z. Wen, and X. Chen*, PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction,PLoS Computational Biology, vol. 13, no. 3, artical no. e**, 2017.
Z.-A. Huang, Z. Wen, Q. Deng, Y. Chu, Y. Sun, andZ. Zhu*,LW-FQZip 2: a parallelized reference-based compression of FASTQ files,BMC Bioinformatics, vol. 18, no. 1, pp. 179:1-179:8, 2017.
Z. Zhu, L. Li, Y. Zhang, Y. Yang, and X. Yang, CompMap: a reference-based compression program to speed up read mapping to related reference sequences,Bioinformatics, vol. 31, no. 3, pp. 426-428, 2015.
Z. Zhu, Y. Zhang, Z. Ji, S. He, and X. Yang, High-throughput DNA sequence data compression,Briefings in Bioinformatics, vol. 16, no. 1, pp. 1-15, 2015.
Y. Zhang, L. Li, Y. Yang, X. Yang, S. He andZ. Zhu*, Light-weight reference-based compression of FASTQ data,BMC Bioinformatics, vol. 16, pp.188, 2015.
Z. Zhu, J. Zhou, Z. Ji, and Y.-H. Shi, DNA sequence compression using adaptive particle swarm optimization-based memetic algorithm,IEEE Transactions on Evolutionary Computation, vol. 15, no. 5, pp. 643-558, 2011.
Z. Zhu, S. Jia, and Z. Ji, Towards a memetic feature selection raradigm,IEEE Computational Intelligence Magazine, vol. 5, no. 2, pp. 41-53, 2010.
Z. Zhu, Y. S. Ong and M. Zurada, Identification of full and partial class relevant genes,IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 2, pp. 263-277, 2010.
Z. Zhu, Y. S. Ong and M. Dash, Markov blanket-embedded genetic algorithm for gene selection,Pattern Recognition, vol. 49, no. 11, pp. 3236-3248, 2007.
Z. Zhu, Y. S. Ong and M. Dash, Wrapper-filter feature selection algorithm using a memetic framework,IEEE Transactions On Systems, Man and Cybernetics - Part B:Cybernetics, vol. 37, no. 1, pp. 70-76, 2007.
主持主要项目
国家自然科学基金面上项目: 基于自组装参考基因组的高通量长读测序数据压缩和比对集成研究，2019-2022
国家自然科学基金面上项目：基于高通量RNA-Seq和多目标协同演化模因计算的疾病模块识别研究，2015-2018
国家自然科学基金委与英国皇家学会中英联合项目: 基于计算智能技术的集成生物标记识别研究， 2012-2014
国家自然科学基金青年基金项目：基于自生式多目标Memetic算法的高维数据特征选择研究，2011-2013
教育部回国留学人员启动基金项目：晶体结构预测中的Memetic算法研究，2012-2013
广东省特支计划创新青年拔尖人才项目，2015-2018
广东省高等学校优秀青年教师培养计划资助项目：基于多组学大数据的智能生物标志物识别研究, 2014-2016


last updated:2021/03/02